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Risk Assessment for Hydrogen

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How does the existing codes and standards development process ... truck crash or rail derailment. Bulk Storage. tank failure; large, unconfined releases ... – PowerPoint PPT presentation

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Title: Risk Assessment for Hydrogen


1
  • Risk Assessment for Hydrogen
  • Codes and Standards
  • Roger Cox, Jay Keller, Chris Moen
  • Sandia National Laboratories
  • Jim Ohi
  • National Renewable Energy Laboratory
  • International Conference on Hydrogen Safety
  • Pisa, Italy
  • September, 2005

2
  • How does the existing codes and standards
    development process incorporate risk in
    determining requirements to provide a given level
    of safety?
  • How can risk assessment inform this process in
    setting requirements, e.g., separation distances?
  • What risk assessment methods and techniques are
    most useful for this process?
  • What are the benefits and costs of developing
    risk-informed codes and standards?

3
Workshops at SNL and NREL
  • Define safety scenarios and themes that drive
    CS development
  • Set priorities for RD and analysis
  • Engage stakeholders to explore risk assessment
    tools
  • Define requirements for RA in development of
    CS for hydrogen

4
(No Transcript)
5
Stakeholder Participants
6
Risk Accounting
Expert panels
Failure Modes and Effects Analysis - FMEA
Probabilistic Risk Assessment - PRA
7
(No Transcript)
8
Observations
  • Probabilistic Risk Assessment (PRA) can
  • clearly define what you do not know
  • be used to determine appropriate scenarios for
    defining clearance distances and size of
    hazardous zones
  • Expected magnitude of risk should drive risk
    assessment from FMEA towards PRA
  • PRA needs event frequency data, data, data
  • lack of publicly available data on event
    frequency
  • Code Development community moves ahead with best
    information available
  • from traditional method Panel of Experts to PRA
  • concern over acceptability of RA in code
    development process
  • cost and schedule (process is schedule-driven but
    moving to using more data)
  • RA may be new concept to community

9
Observations
  • Risk Standards -- find maximum tolerable limits
  • use existing service stations (gasoline, natural
    gas )
  • need to make H2 implementation safer than current
    stations
  • risk standards not as openly embraced in the US
    as in other countries
  • Need generic models of hydrogen systems for risk
    assessment
  • Industry performs detailed risk assessments and
    makes risk based decisions
  • ensure quality and minimize risk and help put
    products into market
  • not explicitly used in codes and standards
    development
  • fundamental driver is same as CS development
    safety and liability
  • What does it cost to continue code development as
    is? Until costs are understood, cannot know size
    of problem
  • what is benefit versus cost of incorporating
    risk-informed code development process as opposed
    to business as usual?

10
Model Code Developers Perspectives
  • NFPA
  • prioritized research activities of interest to
    NFPA code
  • activities stationary power setbacks, metal
    hydride
  • storage, system risk analysis, and vehicle
    refueling setbacks
  • need to identify the 10 of failure scenarios
    that
  • generate 90 of the hazardsneed more on loss
    histories
  • Technical Committee asserted that hydrogen poses
    no
  • greater risk than does natural gas and set the
    separation
  • distances to be the same
  • ICC
  • ad hoc committee commissioned in 2000 to
    introduce
  • new code language for commercial use of
    hydrogen
  • ad hoc committee is panel of experts, but they
    want
  • information that is easy to understand to
    persuade voting
  • body of ICC

11
  • Perform high level risk assessment to identify
    unknowns
  • safety of industrial technologies and practices
    well-established
  • focus on step out technologies where little
    past experience
  • public/refueling interfaces
  • fuel delivery and PRDs
  • emergency response modes
  • CDOs expressed interest but needs driven by
    schedule and will consider quantitative
    information, if available, to make decisions
  • concern that PRA activities will be hard to
    bring to closure
  • CDOs are more interested in qualitative studies
  • SDOs may make use of quantitative studies
  • CDOs do not need rigorous quantitative
    information to defend code
  • language outside of committees

12
Next Steps from Workshop
  • Commissioned three working groups of experts to
  • define requirements for a high level risk
    assessment to guide priorities
  • hydrogen infrastructure system definition
  • define maximum tolerable limits of risk (i.e.,
    equivalent to or less than that implicit for
    gasoline and CNG fueling)
  • assess cost/benefit of risk-informed CS vs.
    business-as-usual
  • identify and compile relevant data, including
    accident event frequencies
  • DOE can serve as central data acquisition point
    to encourage submission of data and protect
    business sensitivity of data
  • interact directly with standards and code
    committees to inform CS development process with
    RA approaches
  • Report Workshop results and plan RA activities
    with Codes and Standards Tech Team

13
Action Items from Workshop
  • Define requirements for a high level risk
    assessment to guide priorities
  • define maximum tolerable limits of risk (i.e.,
    equivalent to or less than that implicit for
    gasoline and CNG fueling)
  • define baseline hydrogen fueling architecture
  • Identify and compile relevant data, including
    accident event frequencies
  • establish central data acquisition point to
    encourage submission of data and protect business
    sensitivity of data
  • Interact with standards and code committees to
    incorporate RA approaches in CS development
    process
  • select key standards to assess/modify with RA
    approach
  • assess C/B of risk-informed CS vs BAU

14
  • How can we efficiently incorporate RA and RD
  • information into the CS development process?
  • how will this information be used to modify
    codes and standards?
  • Current RD tasks are focusing on quantifying
  • hazards for release events
  • where/who/how will information be gathered or
    generated on event frequency?
  • What risk thresholds should be used?
  • develop a new risk standard for hydrogen?
  • adopt risk standard for petroleum refueling?

Requirements needed by someone who would
perform the risk assessment
15
  • Identify CS development requirements
  • Define problem
  • define system
  • identify release events
  • identify hazards
  • define assets to be protected
  • define risk management methodology
  • identify risk criteria and stakeholder
    requirements
  • Quantify hazards
  • identify existing data and models
  • perform experiments to characterize the unknown
  • develop quantitative models and identify
    uncertainties
  • Assess risk
  • identify event frequencies and quantify
    consequences
  • estimate overall system risk
  • characterize uncertainty in overall risk
    estimate
  • identify system elements that most contribute to
    risk
  • identify data most valuable in reducing risk
    uncertainty

16
  • Delivery
  • liquid spill during delivery
  • truck crash or rail derailment
  • Bulk Storage
  • tank failure large, unconfined releases
  • tank breach due to exceeded lifetime
  • Dispensing
  • electrostatic build-up, discharge
  • hose failure
  • heat build up and PRD release during refueling
  • fueling systems check valve failure
  • leak during nozzle disconnect
  • fire in adjacent mini-market
  • Servicing
  • fire during vehicle repair

events rated high priority at 12/03 workshop
17
Work Plan Approach
Probabilistic Risk Assessment - PRA
Data, Haz-Ops, FMEA
Interaction with SDO Expert Panels, other
stakeholders
18
Work Plan Plan Timetable
FY06 1 2 3 4
FY05 1 2 3 4
FY07 1 2 3 4
I. Probabilistic Risk Assessment Gasoline
fueling RA baseline H2 fueling architectures Initi
ating events Consequences Risk vs
architecture Draft PRA (fueling station)
II. Data, Haz-Ops, FMEA Component failure
frequencies Baseline station footprint Iterate
with station template Feedback to PRA
III. Interaction with SDOs/CDOs Reverse RA of
standards RA case studies for new standards C/B
analysis of RA vs BAU Incorporate RA in SDO
process
19
Thank you!
For more information, contact Pat Davis, US
Department of Energy patrick.davis_at_ee.doe.gov C
hris Moen, Sandia National Laboratories chris.moe
n_at_snl.gov Jim Ohi, National Renewable Energy
Laboratory jim_ohi_at_nrel.gov
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